An Improved Hybrid Lightweight Approach for Bearing Fault Detection and Classification in Three-Phase Squirrel Cage Induction Motors
author
Khan, Muhammad Amir
Asad, Bilal
Naseer, Muhammad Usman
Vaimann, Toomas
Kallaste, Ants
statement of authorship
Muhammad Amir Khan, Bilal Asad, Muhammad Usman Naseer, Toomas Vaimann, Ants Kallaste
source
Machines
publisher
MDPI
journal volume number month
vol. 14, 1
year of publication
2026
pages
art. 68
url
https://doi.org/10.3390/machines14010068
subject term
laagrid (tehnika)
sügavõpe
detektsioon
kombineeritud õpe
asünkroonmasinad
tehisõpe
tehisnärvivõrgud
keyword
bearing fault diagnosis
CoLaR-FS
deep learning
fault detection and classification
feature selection
hybrid learning
induction machine
industrial monitoring
machine learning
Recurrent Neural Network
RNN-XBoostNet
XGBoost
ISSN
2075-1702
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
TalTech department
Elektroenergeetika ja mehhatroonika instituut
Department of Electrical Power Engineering and Mechatronics
language
English
Inglise